Microenvironment on Demand: A breakthrough technology for personalized cell therapy discoveries

C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Chief Scientific Officer, Scribe Biosciences
    Biography
      After post-doctoral work at Johns Hopkins University Medical School, Dr. Srinivasan started out as an entry-level scientist in CuraGen and conceived a process to normalize and sequence expressed sequence tags for multiple tissues. The database of sequence tags was then used in conjunction with an in-house differential gene expression technology to identify novel, therapeutically-relevant proteins/targets, at least one of which is in advanced clinical trials (Glembatumumab vedotin, Celldex Therapeutics). Starting 2000 to 2008, Dr. Srinivasan held various positions to launch the first next generation DNA-sequencer, Roche/454 GS20. Two generations of sequencers later, Dr. Srinivasan co-lead the effort to sequence the first human genome using next generation DNA sequencing. Starting 2008, Dr. Srinivasan was head of Global Genomics R and D at Agilent Technologies where he oversaw the launch of 70+ products/product extensions. Dr. Srinivasan joined WaferGen as Chief Technology Officer where he conceived the idea to repurpose WaferGen's SmartChip technology to perform single-cell genomics and lead the development of both the ICELL8 system as well as the alpha prototype of the SMARTer ICELL8-CX system. WaferGen was subsequently acquired by Takara Bio USA in March 2017. Dr. Srinivasan currently is Chief Scientific Officer at Scribe Biosciences. Dr. Srinivasan graduated with a Ph.D. from Colorado State University.

    Abstract

    NCI estimates that cancer will be the leading cause of death in 2030, worldwide.  Checkpoint inhibitors and adoptive cell therapies (ACTs) cost up to ~$2 million/patient and have shown durable responses in a few patients while many patients experience life-threatening side-effects. So, there is a critical need to identify cost-effective therapies to treat cancer with minimal to no side-effects.  Deep mapping of cancer antigens and their cognate immune cells is one approach that has the potential for more universal/targeted treatment. However, no methods exist that can identify cancer antigens and their cognate immune cells functionally and link phenotypic readouts to antigen and immune cell DNA sequences, 100k-1M cell combinations at a time. We will show proof-of-concept for the MOD platform that integrates three technologies after fluorescently-labeled single-cells are encapsulated in droplets – droplet-based cell-sorting and merging, single-cell-based interferon-gamma assays and selective sequencing of T-cell receptor variable regions based on interferon-gamma signals.

    Learning Objectives:

    1. Importance of linked neoantigen/TCR sequence information

    2. Microenvironment on demand technology’s role in screening for adoptive cancer cell therapies (T-cell and CAR-Ts)


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